Remote Senior AI Systems Engineer: MLOps & Cloud

Placements24; Noord-Kaap; Hybrid; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Competitive salary

Health insurance

Retirement plan

Bonuses

Stock options

Unlimited PTO

Home office budget

IT support

AI tools access

Professional growth

Job summary

Placements24 is seeking a Senior Remote AI Systems Engineer to design, build, and optimize scalable AI systems in a fully remote setup. You will lead MLOps pipelines, work with cloud providers, and collaborate with researchers and engineers to deploy AI models in production.

The role requires a Master’s degree in a related field, 6+ years in software engineering focused on AI/ML infra, and strong Python plus Docker/Kubernetes skills. Remote work from anywhere with international collaboration.”

Qualifications

• Master's degree in Computer Science, Software Engineering, or a related technical field.
• 6+ years of experience in software engineering with a focus on AI/ML systems and infrastructure.
• Proven experience deploying and managing AI/ML models in production.
• Experience with cloud AI services on AWS/Azure/GCP; strong Python skills.

Responsibilities

• Design, build, and deploy scalable AI/ML systems and infrastructure.
• Implement and manage robust MLOps pipelines for model training, deployment, monitoring, and management.
• Architect and maintain cloud-based AI infrastructure supporting applications.
• Collaborate with AI researchers, data scientists, and software engineers to integrate models into production systems.
• Optimize AI system performance, security, and efficiency.
• Mentor junior engineers and contribute to knowledge sharing.

Skills

Python

MLOps

Cloud platforms

Docker

Kubernetes

CI/CD

IaC

Remote teamwork

Education

Master's degree in CS/SE

Tools

AWS

Azure

GCP

Job description

Placements24 is seeking a Senior Remote AI Systems Engineer to design, build, and optimize scalable AI systems in a fully remote setup. You will lead MLOps pipelines, work with cloud providers, and collaborate with researchers and engineers to deploy AI models in production.

The role requires a Master’s degree in a related field, 6+ years in software engineering focused on AI/ML infra, and strong Python plus Docker/Kubernetes skills. Remote work from anywhere with international collaboration.”